pan-x-c
commented
1 month ago The error message does not appear to be related to EE-LLM, but rather seems to be caused by the environment. My inference server can generate content normally without any errors.
The startup log of my server is as follows:
Zarr-based strategies will not be registered because of missing packages
load checkpoint args
Setting num_layers to 32 from checkpoint
Setting hidden_size to 4096 from checkpoint
Setting ffn_hidden_size to 10880 from checkpoint
Setting seq_length to 2048 from checkpoint
Setting num_attention_heads to 32 from checkpoint
Setting num_query_groups to 1 from checkpoint
Setting group_query_attention to False from checkpoint
Setting kv_channels to 128 from checkpoint
Setting max_position_embeddings to 2048 from checkpoint
Setting position_embedding_type to rope from checkpoint
Setting add_position_embedding to False from checkpoint
Setting use_rotary_position_embeddings to False from checkpoint
Setting rotary_percent to 1.0 from checkpoint
Setting add_bias_linear to False from checkpoint
Setting swiglu to True from checkpoint
Setting untie_embeddings_and_output_weights to True from checkpoint
Setting apply_layernorm_1p to False from checkpoint
Setting normalization to RMSNorm from checkpoint
Setting padded_vocab_size to 32128 from checkpoint
Setting make_vocab_size_divisible_by to 128 from checkpoint
Setting exit_layer_nums to [9, 17] from checkpoint
Setting exit_layer_weight to [0.1, 0.2] from checkpoint
Setting use_exit_mlp to False from checkpoint
Setting use_exit_block to False from checkpoint
Setting use_exit_norm to False from checkpoint
Setting untie_exit_output_weights to True from checkpoint
Setting pre_exit to True from checkpoint
Setting tensor_model_parallel_size to 1 from checkpoint
Setting pipeline_model_parallel_size to 1 from checkpoint
Checkpoint did not provide arguments virtual_pipeline_model_parallel_size
Checkpoint did not provide arguments num_layers_per_virtual_pipeline_stage
using world size: 1, data-parallel-size: 1, tensor-model-parallel size: 1, pipeline-model-parallel size: 1
WARNING: overriding default arguments for tokenizer_type:GPT2BPETokenizer with tokenizer_type:SentencePieceTokenizer
setting global batch size to 1
using torch.float32 for parameters ...
------------------------ arguments ------------------------
accumulate_allreduce_grads_in_fp32 .............. False
adam_beta1 ...................................... 0.9
adam_beta2 ...................................... 0.999
adam_eps ........................................ 1e-08
add_bias_linear ................................. False
add_position_embedding .......................... False
adlr_autoresume ................................. False
adlr_autoresume_interval ........................ 1000
apply_layernorm_1p .............................. False
apply_query_key_layer_scaling ................... False
apply_residual_connection_post_layernorm ........ False
async_tensor_model_parallel_allreduce ........... True
attention_dropout ............................... 0.1
attention_softmax_in_fp32 ....................... False
backward_forward_ratio .......................... 2.0
barrier_with_L1_time ............................ True
bert_binary_head ................................ True
bert_embedder_type .............................. megatron
bert_load ....................................... None
bf16 ............................................ False
bias_dropout_fusion ............................. True
bias_gelu_fusion ................................ False
biencoder_projection_dim ........................ 0
biencoder_shared_query_context_model ............ False
block_data_path ................................. None
check_for_nan_in_loss_and_grad .................. True
classes_fraction ................................ 1.0
clip_grad ....................................... 1.0
consumed_train_samples .......................... 0
consumed_valid_samples .......................... 0
data_cache_path ................................. None
data_parallel_random_init ....................... False
data_parallel_size .............................. 1
data_path ....................................... None
data_per_class_fraction ......................... 1.0
data_sharding ................................... True
dataloader_type ................................. single
decoder_num_layers .............................. None
decoder_seq_length .............................. None
delay_grad_reduce ............................... True
dino_bottleneck_size ............................ 256
dino_freeze_last_layer .......................... 1
dino_head_hidden_size ........................... 2048
dino_local_crops_number ......................... 10
dino_local_img_size ............................. 96
dino_norm_last_layer ............................ False
dino_teacher_temp ............................... 0.07
dino_warmup_teacher_temp ........................ 0.04
dino_warmup_teacher_temp_epochs ................. 30
distribute_saved_activations .................... False
distributed_backend ............................. nccl
distributed_timeout_minutes ..................... 10
embedding_path .................................. None
empty_unused_memory_level ....................... 0
encoder_num_layers .............................. 32
encoder_seq_length .............................. 2048
end_weight_decay ................................ 0.01
eod_mask_loss ................................... False
eval_interval ................................... 1000
eval_iters ...................................... 100
evidence_data_path .............................. None
exit_duration_in_mins ........................... None
exit_interval ................................... None
exit_layer_nums ................................. [9, 17]
exit_layer_temperature .......................... [1.0, 1.0]
exit_layer_weight ............................... [0.1, 0.2]
exit_layer_weight_init .......................... [0.0, 0.0]
exit_layer_weight_warmup_iters .................. 0
exit_layer_weight_warmup_style .................. linear
exit_on_missing_checkpoint ...................... False
exit_signal_handler ............................. False
expert_model_parallel_size ...................... 1
expert_parallel ................................. False
ffn_hidden_size ................................. 10880
fill_explicit_bubbles ........................... False
finetune ........................................ False
fp16 ............................................ False
fp16_lm_cross_entropy ........................... False
fp32_residual_connection ........................ False
fp8 ............................................. None
fp8_amax_compute_algo ........................... most_recent
fp8_amax_history_len ............................ 1
fp8_interval .................................... 1
fp8_margin ...................................... 0
fp8_wgrad ....................................... True
global_batch_size ............................... 1
gradient_accumulation_fusion .................... True
group_query_attention ........................... False
head_lr_mult .................................... 1.0
hidden_dropout .................................. 0.1
hidden_size ..................................... 4096
hysteresis ...................................... 2
ict_head_size ................................... None
ict_load ........................................ None
img_h ........................................... 224
img_w ........................................... 224
indexer_batch_size .............................. 128
indexer_log_interval ............................ 1000
inference_batch_times_seqlen_threshold .......... 512
init_method_std ................................. 0.02
init_method_xavier_uniform ...................... False
initial_loss_scale .............................. 4294967296
iter_per_epoch .................................. 1250
iteration ....................................... 36000
kv_channels ..................................... 128
lazy_mpu_init ................................... None
load ............................................ /home/data/shared/checkpoints/EE-LLM-release/EE-LLM-7B-dj-refine-150B/convert-1
load_iteration .................................. 0
local_rank ...................................... None
log_batch_size_to_tracker ....................... False
log_interval .................................... 100
log_learning_rate_to_tracker .................... True
log_loss_scale_to_tracker ....................... True
log_memory_to_tracker ........................... False
log_num_zeros_in_grad ........................... False
log_params_norm ................................. False
log_timers_to_tracker ........................... False
log_validation_ppl_to_tracker ................... False
log_world_size_to_tracker ....................... False
loss_scale ...................................... None
loss_scale_window ............................... 1000
lr .............................................. None
lr_decay_iters .................................. None
lr_decay_samples ................................ None
lr_decay_style .................................. linear
lr_warmup_fraction .............................. None
lr_warmup_init .................................. 0.0
lr_warmup_iters ................................. 0
lr_warmup_samples ............................... 0
make_vocab_size_divisible_by .................... 128
mask_factor ..................................... 1.0
mask_prob ....................................... 0.15
mask_type ....................................... random
masked_softmax_fusion ........................... True
max_position_embeddings ......................... 2048
max_tokens_to_oom ............................... 12000
merge_file ...................................... None
micro_batch_size ................................ 1
min_loss_scale .................................. 1.0
min_lr .......................................... 0.0
mmap_warmup ..................................... False
model_spec ...................................... None
no_load_optim ................................... True
no_load_rng ..................................... True
no_persist_layer_norm ........................... False
no_save_optim ................................... None
no_save_rng ..................................... None
norm_epsilon .................................... 1e-05
normalization ................................... RMSNorm
num_attention_heads ............................. 32
num_channels .................................... 3
num_classes ..................................... 1000
num_experts ..................................... None
num_fill_cooldown_microbatches .................. None
num_fill_warmup_microbatches .................... None
num_layers ...................................... 32
num_layers_per_virtual_pipeline_stage ........... None
num_query_groups ................................ 1
num_workers ..................................... 2
onnx_safe ....................................... None
openai_gelu ..................................... False
optimizer ....................................... adam
output_bert_embeddings .......................... False
overlap_grad_reduce ............................. False
overlap_p2p_comm ................................ False
override_opt_param_scheduler .................... False
padded_vocab_size ............................... 32128
params_dtype .................................... torch.float32
patch_dim ....................................... 16
perform_initialization .......................... True
pipeline_model_parallel_size .................... 1
pipeline_model_parallel_split_rank .............. None
port ............................................ 5000
position_embedding_type ......................... rope
pre_exit ........................................ True
profile ......................................... False
profile_ranks ................................... [0]
profile_step_end ................................ 12
profile_step_start .............................. 10
query_in_block_prob ............................. 0.1
rampup_batch_size ............................... None
rank ............................................ 0
recompute_granularity ........................... None
recompute_method ................................ None
recompute_num_layers ............................ None
reset_attention_mask ............................ False
reset_position_ids .............................. False
retriever_report_topk_accuracies ................ []
retriever_score_scaling ......................... False
retriever_seq_length ............................ 256
retro_add_retriever ............................. False
retro_cyclic_train_iters ........................ None
retro_encoder_attention_dropout ................. 0.1
retro_encoder_hidden_dropout .................... 0.1
retro_encoder_layers ............................ 2
retro_num_neighbors ............................. 2
retro_num_retrieved_chunks ...................... 2
retro_return_doc_ids ............................ False
retro_workdir ................................... None
rotary_percent .................................. 1.0
rotary_seq_len_interpolation_factor ............. None
sample_rate ..................................... 1.0
save ............................................ None
save_interval ................................... None
scatter_gather_tensors_in_pipeline .............. True
seed ............................................ 1234
seq_length ...................................... 2048
sequence_parallel ............................... False
sgd_momentum .................................... 0.9
short_seq_prob .................................. 0.1
skip_train ...................................... False
split ........................................... 969, 30, 1
squared_relu .................................... False
standalone_embedding_stage ...................... False
start_weight_decay .............................. 0.01
swiglu .......................................... True
swin_backbone_type .............................. tiny
tensor_model_parallel_size ...................... 1
tensorboard_dir ................................. None
tensorboard_queue_size .......................... 1000
test_data_path .................................. None
timing_log_level ................................ 0
timing_log_option ............................... minmax
titles_data_path ................................ None
tokenizer_model ................................. /home/data/panxuchen.pxc/code/Megatron-LM/tokenizer/tokenizer.model
tokenizer_type .................................. SentencePieceTokenizer
tracker_log_interval ............................ 1
train_data_path ................................. None
train_iters ..................................... None
train_samples ................................... None
transformer_impl ................................ local
transformer_pipeline_model_parallel_size ........ 1
tune_exit ....................................... False
tune_exit_pipeline_parallel_size ................ 1
untie_embeddings_and_output_weights ............. True
untie_exit_output_weights ....................... True
use_checkpoint_args ............................. True
use_checkpoint_opt_param_scheduler .............. False
use_cpu_initialization .......................... None
use_distributed_optimizer ....................... False
use_dynamic_exit_layer_weight ................... False
use_exit_block .................................. False
use_exit_mlp .................................... False
use_exit_norm ................................... False
use_flash_attn .................................. False
use_mcore_models ................................ False
use_one_sent_docs ............................... False
use_ring_exchange_p2p ........................... False
use_rotary_position_embeddings .................. False
valid_data_path ................................. None
variable_seq_lengths ............................ False
virtual_pipeline_model_parallel_size ............ None
vision_backbone_type ............................ vit
vision_pretraining .............................. False
vision_pretraining_type ......................... classify
vocab_extra_ids ................................. 0
vocab_file ...................................... None
vocab_size ...................................... None
wandb_exp_name .................................. default
wandb_group ..................................... None
wandb_project ................................... None
wandb_save_dir ..................................
weight_decay .................................... 0.01
weight_decay_incr_style ......................... constant
world_size ...................................... 1
-------------------- end of arguments ---------------------
setting number of micro-batches to constant 1
> building SentencePieceTokenizer tokenizer ...
> initializing torch distributed ...
> initialized tensor model parallel with size 1
> initialized pipeline model parallel with size 1
> setting random seeds to 1234 ...
> compiling dataset index builder ...
make: Entering directory '/mnt/data/panxuchen.pxc/dev/Megatron-LM/megatron/data'
make: Nothing to be done for 'default'.
make: Leaving directory '/mnt/data/panxuchen.pxc/dev/Megatron-LM/megatron/data'
>>> done with dataset index builder. Compilation time: 0.037 seconds
WARNING: constraints for invoking optimized fused softmax kernel are not met. We default back to unfused kernel invocations.
> compiling and loading fused kernels ...
NCCL version 2.15.5+cuda11.8
>>> done with compiling and loading fused kernels. Compilation time: 0.266 seconds
WARNING: Forcing exit_on_missing_checkpoint to True for text generation.
building EarlyExitGPT model ...
> number of parameters on (tensor, pipeline) model parallel rank (0, 0): 6952325120
loading checkpoint from /home/data/shared/checkpoints/EE-LLM-release/EE-LLM-7B-dj-refine-150B/convert-1 at iteration 36000
checkpoint version 3.0
successfully loaded checkpoint from /home/data/shared/checkpoints/EE-LLM-release/EE-LLM-7B-dj-refine-150B/convert-1 at iteration 36000
* Serving Flask app 'megatron.early_exit_text_generation_server'
* Debug mode: offThe specific prompt request and the corresponding response log are as follows:
request IP: 127.0.0.1
{"prompts": ["translate the sentences to English.\n\nexample: \n\nsource: \n\n\u897f\u7c73\u8bfa\u592b\u8bf4\uff0c2013 \u5e74\u4ed6\u5728\u300a\u521b\u667a\u8d62\u5bb6\u300b\u8282\u76ee\u4e2d\u9732\u9762\u540e\uff0c\u516c\u53f8\u7684\u9500\u552e\u989d\u5927\u589e\uff0c\u5f53\u65f6\u8282\u76ee\u7ec4\u62d2\u7edd\u5411\u8fd9\u5bb6\u521d\u521b\u516c\u53f8\u6295\u8d44\u3002\n\ntarget: \n\nSiminoff said sales boosted after his 2013 appearance in a Shark Tank episode where the show panel declined funding the startup.\n\nsource: \n\n2017 \u5e74\u5e74\u672b\uff0c\u897f\u7c73\u8bfa\u592b\u51fa\u73b0\u5728 QVC \u7535\u89c6\u9500\u552e\u9891\u9053\u3002\n\ntarget: \n\nIn late 2017, Siminoff appeared on shopping television channel QVC.\n\nsource: \n\n\u94c3\u58f0 (Ring) \u516c\u53f8\u8fd8\u4e0e\u7ade\u4e89\u5bf9\u624b ADT \u5b89\u4fdd\u516c\u53f8\u5728\u4e00\u8d77\u5b98\u53f8\u4e2d\u8fbe\u6210\u4e86\u5ead\u5916\u548c\u89e3\u3002\n\ntarget: \n\nRing also settled a lawsuit with competing security company, the ADT Corporation.\n\ntranslate the following sentences:\n\nsource: \n\n\u4ed6\u8865\u5145\u9053\uff1a\u201c\u6211\u4eec\u73b0\u5728\u6709 4 \u4e2a\u6708\u5927\u6ca1\u6709\u7cd6\u5c3f\u75c5\u7684\u8001\u9f20\uff0c\u4f46\u5b83\u4eec\u66fe\u7ecf\u5f97\u8fc7\u8be5\u75c5\u3002\u201d\n\ntarget: \n\n"], "tokens_to_generate": 200, "top_k": 1, "logprobs": true, "random_seed": 9958, "echo_prompts": false, "early_exit_thres": 0.2, "exit_layers": [], "use_early_exit": true, "print_max_prob": false, "top_p": 0, "top_p_decay": 0.0, "top_p_bound": 0.0, "temperature": 0.0, "add_BOS": false, "stop_sequences": null, "prevent_newline_after_colon": false, "length_penalty": 1}
start time: 2024-06-08 10:26:42.342346
Response(use 3.3466479778289795s): ['The company has been dealing with a series of respiratory illnesses in recent years.\n\ntranslate the following sentences:\n\nsource: \n\n他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充道果 他补充']The error might be related to flash-attention or PyTorch, because the version of Pytorch you are using is quite high, whereas EE-LLM was developed on a relatively older version. I recommend trying out the docker image suggested in the README (nvcr.io/nvidia/pytorch:22.12-py3) to see if it resolves the issue.
Describe the bug
I tried to run a translation task on the checkpoint (converted 7b model), but a bug occurred from time to time (so no always, for some prompts the server works well).
one such prompt:
args sent to the server:
error message in the server logs:
To Reproduce Steps to reproduce the behavior. The easier it is to reproduce the faster it will get maintainer attention.
Expected behavior A clear and concise description of what you expected to happen.
Stack trace/logs If applicable, add the stack trace or logs from the time of the error.
Environment (please complete the following information):
Proposed fix If you have a proposal for how to fix the issue state it here or link to a PR.
Additional context Add any other context about the problem here.